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基于性能,行为和感知指标的压力测量的多维数据集.
Ainhoa Apraiz1, Graziana Blandino2, Ali Tarhini3
1Design Innovation Centre, Faculty of Engineering, Mechanical and Industrial Production, Mondragon Unibertsitatea, Arrasate, Spain. aapraizi@mondragon.edu.
Scientific data
|December 18, 2024
概括
工业的技术进步正在增加工人的压力. 无压力项目收集数据,以了解和减轻制造环境中与工作有关的压力原因.
科学领域:
- 职业健康 职业健康 职业健康
- 人与计算机的交互
- 工业工程 工业工程 工业工程
背景情况:
- 工业生产过程中的技术转型正在改变人类工人的角色.
- 这种转型为员工带来了大量职业压力的重要来源.
- 了解和减轻与工作有关的压力对于员工的福祉和生产力至关重要.
研究的目的:
- 探索制造业中与工作有关的压力的原因.
- 为减轻压力提出基于证据的解决方案.
- 开发一个框架,结合客观和主观数据进行压力评估.
主要方法:
- 采用了对象内研究设计,使每个参与者暴露在所有实验条件中.
- 数据收集包括监测压力的行为,表现和感知指标.
- 任务包括全套装备,部件质量控制,组装和在各种制造环境中对产品质量进行监测.
主要成果:
- 提供了数据收集工作流程和压力指标的详细描述.
- 该研究收集了有关参与者在各种制造任务中的压力水平的综合数据.
- 收集的数据允许对个人和条件之间的压力强度进行比较分析.
结论:
- NO-STRESS项目为调查与工作相关的压力提供了一个强大的方法.
- 这些发现可以为实践干预提供信息,以减少制造环境中的压力.
- 这项研究通过解决职业健康挑战,对社会福祉有更广泛的影响.


